About: Automatic online news monitoring and classification for syndromic surveillance

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Automatic online news monitoring and classification for syndromic surveillance
Creator	Chen, Hsinchun Zhang, Yulei Thurmond, Mark Dang, Yan Larson, Cathy
source	Elsevier; Medline; PMC
abstract	Abstract Syndromic surveillance can play an important role in protecting the public's health against infectious diseases. Infectious disease outbreaks can have a devastating effect on society as well as the economy, and global awareness is therefore critical to protecting against major outbreaks. By monitoring online news sources and developing an accurate news classification system for syndromic surveillance, public health personnel can be apprised of outbreaks and potential outbreak situations. In this study, we have developed a framework for automatic online news monitoring and classification for syndromic surveillance. The framework is unique and none of the techniques adopted in this study have been previously used in the context of syndromic surveillance on infectious diseases. In recent classification experiments, we compared the performance of different feature subsets on different machine learning algorithms. The results showed that the combined feature subsets including Bag of Words, Noun Phrases, and Named Entities features outperformed the Bag of Words feature subsets. Furthermore, feature selection improved the performance of feature subsets in online news classification. The highest classification performance was achieved when using SVM upon the selected combination feature subset.
has issue date	2009-11-30(xsd:dateTime)
bibo:doi	10.1016/j.dss.2009.04.016
bibo:pmid	32287567
has license	els-covid
sha1sum (hex)	4050db34f3e0a504796a594abfdfca470082152b
schema:url	https://doi.org/10.1016/j.dss.2009.04.016
resource representing a document's title	Automatic online news monitoring and classification for syndromic surveillance
has PubMed Central identifier	PMC7114309
has PubMed identifier	32287567
schema:publication	Decision Support Systems
resource representing a document's body	covid:4050db34f3e0a504796a594abfdfca470082152b#body_text
is schema:about of	named entity 'MONITORING' named entity 'SYNDROMIC SURVEILLANCE' named entity 'machine learning' named entity 'Noun' named entity 'improved' named entity 'news monitoring' named entity 'ECONOMY' named entity 'DEVELOPING' named entity 'INFECTIOUS DISEASE' named entity 'ADOPTED' named entity 'NEWS' named entity 'PROTECTING' named entity 'EXPERIMENTS' named entity 'IMPROVED' named entity 'MAJOR' named entity 'SOURCES' named entity 'ONLINE' named entity 'DISEASE OUTBREAKS' named entity 'NAMED' named entity 'HAVE' named entity 'DIFFERENT' named entity 'PLAY' named entity 'SUBSET' named entity 'TECHNIQUES' named entity 'POTENTIAL' named entity 'ACCURATE' named entity 'RESULTS' named entity 'OUTBREAK' named entity '27S' named entity 'PREVIOUSLY' named entity 'SVM' named entity 'HEALTH PERSONNEL' named entity 'USED' named entity 'WORDS' named entity 'SOCIETY' named entity 'INFECTIOUS DISEASES' named entity 'AWARENESS' named entity 'CLASSIFICATION' named entity 'SYNDROMIC SURVEILLANCE' named entity 'USING' named entity 'COMPARED' named entity 'HIGHEST' named entity 'FEATURES' named entity 'BAG' named entity 'HEALTH' named entity 'SELECTED' named entity 'COMBINED' named entity 'FEATURE' named entity 'CLASSIFICATION' named entity 'STUDY' named entity 'ROLE' named entity 'PUBLIC' named entity 'CONTEXT' named entity 'PHRASES' named entity 'INCLUDING' named entity 'CLASSIFICATION SYSTEM' named entity 'MACHINE LEARNING ALGORITHMS' named entity 'FEATURE SELECTION' named entity 'UNIQUE' named entity 'IMPORTANT' named entity 'NOUN' named entity 'COMBINATION' named entity 'MONITORING' named entity 'PUBLIC HEALTH' named entity 'RECENT' named entity 'EFFECT' named entity 'GLOBAL' named entity 'ONLINE' named entity 'AUTOMATIC' named entity 'NEWS' named entity 'PERFORMANCE' named entity 'AUTOMATIC' named entity 'CRITICAL' covid:arg/4050db34f3e0a504796a594abfdfca470082152b named entity 'health' named entity 'Bag' named entity 'performance'

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